Stanley Cup Winners Hockey League

MINNESOTA Wild
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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Jason Dickinson	0	X				100.00	74	41	73	68	80	82	80	67	75	70	64	71	66	54	51	77	95	70	0
2	Tyler Motte	0		X			100.00	87	35	75	66	69	80	87	65	59	64	65	72	65	56	52	57	98	70	0
3	Drake Caggiula	0	X				100.00	84	44	71	70	66	82	68	69	62	68	69	66	69	57	52	42	98	69	0
4	Iiro Pakarinen	0			X		100.00	72	41	82	67	78	74	75	59	30	59	63	68	69	55	53	42	98	66	0
5	Peter Holland	0	X	X			100.00	56	89	60	70	81	50	50	70	70	65	65	50	65	61	53	70	98	61	0
6	Matej Stransky (R)	0			X		100.00	53	38	70	69	80	50	57	61	30	52	59	51	57	60	50	71	98	59	0
7	Yakov Trenin	0	X				100.00	55	89	64	67	81	50	50	67	70	58	58	56	58	50	50	44	98	59	0
8	Owen Tippett (R)	0			X		100.00	55	40	82	66	76	72	29	56	30	56	56	60	64	50	50	88	98	58	0
9	Stanislav Galiev	0			X		100.00	49	35	78	70	74	47	40	60	30	52	54	56	55	62	51	63	98	56	0
10	Joseph Cramarossa	0	X				100.00	50	89	46	63	73	50	50	63	50	53	53	50	53	52	51	56	98	55	0
11	Tanner Kaspick (R)	0	X				100.00	51	89	67	57	74	50	50	57	70	54	54	50	54	50	50	44	98	55	0
12	Will Butcher	0				X	100.00	61	35	78	69	68	83	91	69	30	71	60	66	70	56	52	57	91	69	0
13	Madison Bowey	0				X	100.00	72	47	72	65	80	77	63	64	30	63	59	72	67	54	51	68	98	66	0
14	Mark Alt	0				X	100.00	59	35	67	64	87	50	51	64	30	49	44	50	54	51	50	58	98	56	0
15	Matt Bartkowski	0				X	100.00	54	35	62	61	77	48	51	61	30	48	43	54	54	60	58	38	98	55	0
16	Konrad Abeltshauser (R)	0				X	100.00	49	35	78	60	88	45	40	49	30	34	28	55	48	60	55	71	92	50	0
Rayé
1	Yannick Veilleux	0		X			100.00	54	89	58	57	79	50	50	57	50	54	54	51	54	50	50	59	98	55	0
2	Ian McCoshen	0				X	100.00	66	35	66	60	87	55	59	60	30	48	46	57	56	52	51	76	92	58	0
3	Keegan Lowe	0				X	100.00	51	89	58	63	76	49	50	63	30	45	40	55	50	50	50	62	93	54	0

	MOYENNE D'ÉQUIPE					100.00	61	54	69	65	78	60	57	62	44	56	54	58	59	55	52	60	97	60

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Alex Stalock	100.00	79	72	76	74	78	77	79	78	77	78	73	59	69	37	98	68	0
2	Eric Comrie	100.00	77	70	94	72	76	75	77	76	75	76	71	50	64	67	97	67	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	78	71	85	73	77	76	78	77	76	77	72	55	67	52	98	68

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Benoit Groulx	67	67	67	67	72	72	68	CAN	53	2	75,000$

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSS	S1	S2	S3
1	Peter Holland	IOWA Wild (MIN)	C/LW	7	4	13	17	18	10	8	1	44	8	29	9.09%	3	126	18.05	0	2	2	4	4	3	9	1	0	86.67%	15	0	2.69	0	1	0	1
2	Drake Caggiula	IOWA Wild (MIN)	C	6	4	9	13	11	2	12	3	32	20	22	12.50%	2	76	12.73	0	0	0	0	0	2	9	1	0	72.15%	79	0	3.40	0	0	2	1
3	Tyler Motte	IOWA Wild (MIN)	LW	6	9	4	13	9	2	23	9	60	9	46	15.00%	0	134	22.44	0	1	1	4	12	4	20	1	0	57.14%	14	1	1.93	1	1	2	0
4	Owen Tippett	IOWA Wild (MIN)	RW	7	7	5	12	13	0	1	1	33	8	15	21.21%	2	78	11.25	0	0	0	0	0	0	0	1	1	62.50%	8	0	3.05	0	1	1	0
5	Madison Bowey	IOWA Wild (MIN)	D	6	3	8	11	17	6	12	6	26	7	15	11.54%	5	163	27.30	0	0	0	7	12	1	15	1	0	0.00%	0	0	1.34	0	1	0	1
6	Yakov Trenin	IOWA Wild (MIN)	C	7	3	6	9	9	2	9	8	27	8	29	11.11%	1	78	11.23	0	0	0	0	0	0	0	0	0	85.23%	88	0	2.29	0	0	0	0
7	Jason Dickinson	IOWA Wild (MIN)	C	6	4	4	8	7	4	6	7	51	12	34	7.84%	3	102	17.15	0	0	0	3	10	3	10	0	0	76.03%	146	1	1.55	1	0	1	0
8	Iiro Pakarinen	IOWA Wild (MIN)	RW	7	3	5	8	7	4	14	5	66	18	51	4.55%	3	124	17.81	1	0	1	3	12	0	0	0	0	63.64%	11	0	1.28	0	0	0	1
9	Stanislav Galiev	IOWA Wild (MIN)	RW	7	1	6	7	9	0	2	6	34	9	28	2.94%	1	71	10.20	0	0	0	0	0	0	0	0	0	66.67%	3	0	1.96	0	0	0	0
10	Mark Alt	IOWA Wild (MIN)	D	7	0	6	6	18	6	14	2	8	1	8	0.00%	2	155	22.24	0	0	0	0	9	1	13	0	0	0.00%	0	0	0.77	0	0	0	0
11	Tanner Kaspick	IOWA Wild (MIN)	C	6	2	4	6	8	0	8	3	13	2	5	15.38%	2	56	9.49	0	0	0	0	1	0	7	0	0	94.12%	17	0	2.11	0	1	0	0
12	Matt Bartkowski	IOWA Wild (MIN)	D	6	1	4	5	11	0	14	0	6	1	5	16.67%	1	132	22.03	0	1	1	2	10	0	15	0	0	0.00%	0	0	0.76	0	0	0	0
13	Matej Stransky	IOWA Wild (MIN)	RW	7	2	3	5	10	0	6	3	35	10	23	5.71%	1	106	15.15	0	1	1	2	10	0	0	0	0	80.00%	5	0	0.94	0	0	0	0
14	Ian McCoshen	IOWA Wild (MIN)	D	6	1	3	4	13	2	4	3	8	1	3	12.50%	3	140	23.46	0	0	0	1	9	0	12	0	0	0.00%	0	0	0.57	0	1	0	0
15	Yannick Veilleux	IOWA Wild (MIN)	LW	6	2	1	3	7	4	2	3	15	2	6	13.33%	1	66	11.04	0	0	0	0	0	0	0	1	0	33.33%	3	0	0.91	0	0	0	0
16	Will Butcher	IOWA Wild (MIN)	D	1	0	2	2	3	0	0	0	1	0	0	0.00%	0	23	23.92	0	0	0	0	0	0	0	0	0	0.00%	0	0	1.67	0	0	0	0
17	Kyle Brodziak	MINNESOTA Wild	C	1	1	0	1	-1	0	2	4	3	0	2	33.33%	0	23	23.27	1	0	1	2	1	0	3	0	0	53.13%	32	0	0.86	0	0	0	0
18	Keegan Lowe	IOWA Wild (MIN)	D	1	0	1	1	2	0	0	0	5	1	1	0.00%	0	16	16.85	0	0	0	0	0	0	0	0	0	0.00%	0	0	1.19	0	0	0	0
19	Joseph Cramarossa	IOWA Wild (MIN)	C	7	0	0	0	1	0	0	0	1	0	1	0.00%	0	14	2.12	0	0	0	0	0	0	0	0	0	83.33%	6	0	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				107	47	84	131	172	42	137	64	468	117	323	10.04%	30	1694	15.83	2	5	7	28	95	14	118	6	1	75.18%	427	2	1.55	2	6	6	4

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Alex Stalock	IOWA Wild (MIN)	7	6	0	1	0.922	1.27	425	2	0	9	116	0	0	0	0.667	3	7	0	1	0	0
Stats d'équipe Total ou en Moyenne			7	6	0	1	0.922	1.27	425	2	0	9	116	0	0	0	0.667	3	7	0	1	0	0

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Alex Stalock	IOWA Wild (MIN)	G	32	1987-07-28	No	90 Kg	183 CM	No	No	No	3	Pro & Farm	800,000$	727,927$	800,000$	727,927$	0$	0$	No	800,000$	800,000$			Lien
Drake Caggiula	IOWA Wild (MIN)	C	27	1992-01-09 14:02:10	No	80 Kg	178 CM	No	No	No	1	Pro & Farm	1,500,000$	1,364,864$	1,500,000$	1,364,864$	0$	0$	No					Lien
Eric Comrie	IOWA Wild (MIN)	G	24	1995-07-06	No	80 Kg	185 CM	No	No	No	1	Pro & Farm	925,000$	841,666$	925,000$	841,666$	0$	0$	No					Lien
Ian McCoshen	IOWA Wild (MIN)	D	24	1995-08-05	No	99 Kg	191 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No					Lien
Iiro Pakarinen	IOWA Wild (MIN)	RW	28	1991-08-25	No	96 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$				Lien
Jason Dickinson	IOWA Wild (MIN)	C	24	1995-07-04	No	91 Kg	188 CM	No	No	No	3	Pro & Farm	900,000$	818,918$	900,000$	818,918$	0$	0$	No	900,000$	900,000$			Lien
Joseph Cramarossa	IOWA Wild (MIN)	C	26	1992-10-26	No	87 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$			Lien
Keegan Lowe	IOWA Wild (MIN)	D	26	1993-03-29	No	88 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$			Lien
Konrad Abeltshauser	IOWA Wild (MIN)	D	26	1992-09-02	Yes	102 Kg	196 CM	No	No	No	3	Pro & Farm	1,500,000$	1,364,864$	1,500,000$	1,364,864$	0$	0$	No	1,500,000$	1,500,000$
Madison Bowey	IOWA Wild (MIN)	D	24	1995-04-22	No	90 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No					Lien
Mark Alt	IOWA Wild (MIN)	D	27	1991-10-18	No	91 Kg	193 CM	No	No	No	5	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Matej Stransky	IOWA Wild (MIN)	RW	26	1993-07-11	Yes	95 Kg	191 CM	No	No	No	4	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$
Matt Bartkowski	IOWA Wild (MIN)	D	31	1988-06-04	No	90 Kg	185 CM	No	No	No	5	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
Owen Tippett	IOWA Wild (MIN)	RW	20	1999-02-16	Yes	91 Kg	185 CM	No	No	No	4	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$		Lien
Peter Holland	IOWA Wild (MIN)	C/LW	28	1991-01-14	No	93 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$		Lien
Stanislav Galiev	IOWA Wild (MIN)	RW	27	1992-01-17	No	90 Kg	188 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$
Tanner Kaspick	IOWA Wild (MIN)	C	21	1998-01-28	Yes	91 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$				Lien
Tyler Motte	IOWA Wild (MIN)	LW	24	1995-03-10	No	87 Kg	178 CM	No	No	No	4	Pro & Farm	800,000$	727,927$	800,000$	727,927$	0$	0$	No	800,000$	800,000$	800,000$		Lien
Will Butcher	IOWA Wild (MIN)	D	24	1995-01-06	No	86 Kg	178 CM	No	No	No	3	Pro & Farm	950,000$	864,414$	950,000$	864,414$	0$	0$	No	950,000$	950,000$			Lien
Yakov Trenin	IOWA Wild (MIN)	C	22	1997-01-13	No	91 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$		Lien
Yannick Veilleux	IOWA Wild (MIN)	LW	26	1993-02-22	No	89 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	25.57	90 Kg	185 CM	2.90	851,190$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tyler Motte	Jason Dickinson	Owen Tippett	31	1	2	2
2	Peter Holland	Drake Caggiula	Matej Stransky	26	1	2	2
3		Yakov Trenin	Iiro Pakarinen	23	1	2	2
4	Tyler Motte	Joseph Cramarossa	Stanislav Galiev	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Will Butcher	Madison Bowey	31	1	2	2
2		Mark Alt	26	1	2	2
3	Matt Bartkowski		23	1	2	2
4	Will Butcher	Madison Bowey	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tyler Motte	Jason Dickinson	Owen Tippett	55	1	2	2
2	Peter Holland	Drake Caggiula	Matej Stransky	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Will Butcher	Madison Bowey	55	1	2	2
2		Mark Alt	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Dickinson	Tyler Motte	55	1	2	2
2	Drake Caggiula	Peter Holland	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Will Butcher	Madison Bowey	55	1	2	2
2		Mark Alt	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Dickinson	55	1	2	2	Will Butcher	Madison Bowey	55	1	2	2
2	Drake Caggiula	45	1	2	2		Mark Alt	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Dickinson	Tyler Motte	55	1	2	2
2	Drake Caggiula	Owen Tippett	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Will Butcher	Madison Bowey	55	1	2	2
2		Mark Alt	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tyler Motte	Jason Dickinson	Owen Tippett	Will Butcher	Madison Bowey

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tyler Motte	Jason Dickinson	Drake Caggiula	Matt Bartkowski	Madison Bowey

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Owen Tippett, Jason Dickinson, Drake Caggiula	Jason Dickinson, Owen Tippett	Peter Holland

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Will Butcher, Madison Bowey, Matt Bartkowski	Mark Alt	Madison Bowey, Matt Bartkowski

Tirs de Pénalité
Owen Tippett, Jason Dickinson, Drake Caggiula, Tyler Motte, Will Butcher

Gardien
#1 : Alex Stalock, #2 : Eric Comrie

Lignes d'Attaque Perso. en Prol.
Tyler Motte, Jason Dickinson, Drake Caggiula, Iiro Pakarinen, Peter Holland, Matej Stransky, Matej Stransky, Yakov Trenin, Owen Tippett, Stanislav Galiev,

Lignes de Défense Perso. en Prol.
Will Butcher, Madison Bowey, , Mark Alt, Matt Bartkowski

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	7	6	0	0	0	0	0	1	50	10	40	3	3	0	0	0	0	0	0	22	4	18	4	3	0	0	0	0	0	1	28	6	22	13	0.929	50	92	142	0	0	26	14	10	0	510	148	173	189	3	116	30	44	139	13	3	23.08%	21	2	90.48%	0	227	329	69.00%	74	148	50.00%	73	109	66.97%	268	222	88	29	68	42
	_Since Last GM Reset	7	6	0	0	0	0	0	1	50	10	40	3	3	0	0	0	0	0	0	22	4	18	4	3	0	0	0	0	0	1	28	6	22	13	0.929	50	92	142	0	0	26	14	10	0	510	148	173	189	3	116	30	44	139	13	3	23.08%	21	2	90.48%	0	227	329	69.00%	74	148	50.00%	73	109	66.97%	268	222	88	29	68	42
	_Vs Conference	6	5	0	0	0	0	0	1	46	8	38	3	3	0	0	0	0	0	0	22	4	18	3	2	0	0	0	0	0	1	24	4	20	11	0.917	46	84	130	0	0	26	14	10	0	477	148	173	189	3	81	24	36	123	12	2	16.67%	18	1	94.44%	0	227	329	69.00%	74	148	50.00%	73	109	66.97%	268	222	88	29	68	42
	_Vs Division	3	0	0	0	0	0	0	1	31	3	28	1	0	0	0	0	0	0	0	8	1	7	2	0	0	0	0	0	0	1	23	2	21	1	0.167	31	56	87	0	0	26	14	10	0	317	148	173	189	3	19	3	4	57	0	0	0.00%	2	0	100.00%	0	227	329	69.00%	74	148	50.00%	73	109	66.97%	268	222	88	29	68	42

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
7	13	W4	50	92	142	510	116	30	44	139	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	6	0	0	0	0	1	50	10

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	22	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	0	0	0	0	1	28	6

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	0	0	0	0	1

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
13	3	23.08%	21	2	90.48%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
148	173	189	3	26	14	10	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
227	329	69.00%	74	148	50.00%	73	109	66.97%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
268	222	88	29	68	42

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	Lien
1 - 2020-01-15	10	BELLEVILLE Senators	1	IOWA Wild	8	W			Sommaire du Match
2 - 2020-01-16	25	IOWA Wild	4	TUSCON Roadrunners	2	W			Sommaire du Match
3 - 2020-01-17	29	IOWA Wild	1	LEHIGH VALLEY Phantoms	2	L	X	X	Sommaire du Match
4 - 2020-01-18	42	Manitoba Moose	2	IOWA Wild	8	W			Sommaire du Match
5 - 2020-01-19	60	Manitoba Moose	1	IOWA Wild	6	W			Sommaire du Match
7 - 2020-01-21	67	IOWA Wild	14	CORNWALL Aces	1	W			Sommaire du Match
9 - 2020-01-23	87	IOWA Wild	9	CORNWALL Aces	1	W			Sommaire du Match
11 - 2020-01-25	96	IOWA Wild	-	PV Sharapovas	-
13 - 2020-01-27	106	HOLLYWOOD Oscar	-	IOWA Wild	-
15 - 2020-01-29	122	Syracruse Crunch	-	IOWA Wild	-
17 - 2020-01-31	131	IOWA Wild	-	STOCKTON Flames	-
19 - 2020-02-02	147	UTICA Comets	-	IOWA Wild	-
21 - 2020-02-04	159	WILKIES-BARRIE Penguins	-	IOWA Wild	-
22 - 2020-02-05	173	IOWA Wild	-	WILKIES-BARRIE Penguins	-
24 - 2020-02-07	191	Manitoba Moose	-	IOWA Wild	-
25 - 2020-02-08	204	IOWA Wild	-	LEHIGH VALLEY Phantoms	-
26 - 2020-02-09	218	COLORADO Eagles	-	IOWA Wild	-
27 - 2020-02-10	229	IOWA Wild	-	HERSEY Bears	-
28 - 2020-02-11	242	BROOKLYN Wolfpack	-	IOWA Wild	-
30 - 2020-02-13	256	IOWA Wild	-	HOLLYWOOD Oscar	-
31 - 2020-02-14	269	Binghampton Devils	-	IOWA Wild	-
33 - 2020-02-16	284	IOWA Wild	-	MILWAUKEE Admirals	-
34 - 2020-02-17	296	Marlies de Toronto	-	IOWA Wild	-
35 - 2020-02-18	311	IOWA Wild	-	Marlies de Toronto	-
37 - 2020-02-20	321	PROVIDENCE Bruins	-	IOWA Wild	-
38 - 2020-02-21	336	IOWA Wild	-	LAVAL Rockets	-
39 - 2020-02-22	348	CHICAGO Wolves	-	IOWA Wild	-
41 - 2020-02-24	366	IOWA Wild	-	LEHIGH VALLEY Phantoms	-
42 - 2020-02-25	374	IOWA Wild	-	WILKIES-BARRIE Penguins	-
43 - 2020-02-26	383	LAVAL Rockets	-	IOWA Wild	-
44 - 2020-02-27	397	CORNWALL Aces	-	IOWA Wild	-
45 - 2020-02-28	417	Syracruse Crunch	-	IOWA Wild	-
46 - 2020-02-29	426	IOWA Wild	-	SAN DIEGO Gulls	-
48 - 2020-03-02	445	WILKIES-BARRIE Penguins	-	IOWA Wild	-
49 - 2020-03-03	458	IOWA Wild	-	PV Sharapovas	-
50 - 2020-03-04	462	IOWA Wild	-	PROVIDENCE Bruins	-
52 - 2020-03-06	476	STOCKTON Flames	-	IOWA Wild	-
53 - 2020-03-07	495	Manitoba Moose	-	IOWA Wild	-
54 - 2020-03-08	503	IOWA Wild	-	Manitoba Moose	-
56 - 2020-03-10	516	IOWA Wild	-	HOLLYWOOD Oscar	-
57 - 2020-03-11	530	IOWA Wild	-	VICTORIAVILLE Tigres	-
58 - 2020-03-12	538	HERSEY Bears	-	IOWA Wild	-
60 - 2020-03-14	554	MILWAUKEE Admirals	-	IOWA Wild	-
61 - 2020-03-15	573	IOWA Wild	-	VICTORIAVILLE Tigres	-
62 - 2020-03-16	579	HOLLYWOOD Oscar	-	IOWA Wild	-
63 - 2020-03-17	590	IOWA Wild	-	ROCKFORD IceHogs	-
64 - 2020-03-18	605	IOWA Wild	-	COLORADO Eagles	-
65 - 2020-03-19	615	IOWA Wild	-	Manitoba Moose	-
66 - 2020-03-20	625	TUSCON Roadrunners	-	IOWA Wild	-
68 - 2020-03-22	641	STOCKTON Flames	-	IOWA Wild	-
69 - 2020-03-23	659	HOLLYWOOD Oscar	-	IOWA Wild	-
70 - 2020-03-24	677	UTICA Comets	-	IOWA Wild	-
72 - 2020-03-26	688	IOWA Wild	-	CHICAGO Wolves	-
73 - 2020-03-27	703	IOWA Wild	-	MONT-LAURIER Sommet	-
74 - 2020-03-28	709	IOWA Wild	-	Marlies de Toronto	-
75 - 2020-03-29	721	SAN DIEGO Gulls	-	IOWA Wild	-
76 - 2020-03-30	733	IOWA Wild	-	BROOKLYN Wolfpack	-
77 - 2020-03-31	745	MONT-LAURIER Sommet	-	IOWA Wild	-
78 - 2020-04-01	763	IOWA Wild	-	CORNWALL Aces	-
79 - 2020-04-02	774	PV Sharapovas	-	IOWA Wild	-
81 - 2020-04-04	786	IOWA Wild	-	MONT-LAURIER Sommet	-
82 - 2020-04-05	797	PV Sharapovas	-	IOWA Wild	-
83 - 2020-04-06	812	Binghampton Devils	-	IOWA Wild	-
84 - 2020-04-07	825	IOWA Wild	-	ROCKFORD IceHogs	-
85 - 2020-04-08	838	IOWA Wild	-	BRIDGEPORT Sound Tigers	-
87 - 2020-04-10	849	VICTORIAVILLE Tigres	-	IOWA Wild	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11	865	LEHIGH VALLEY Phantoms	-	IOWA Wild	-
90 - 2020-04-13	880	IOWA Wild	-	Syracruse Crunch	-
91 - 2020-04-14	891	CORNWALL Aces	-	IOWA Wild	-
92 - 2020-04-15	905	IOWA Wild	-	Binghampton Devils	-
93 - 2020-04-16	916	IOWA Wild	-	BELLEVILLE Senators	-
94 - 2020-04-17	927	LEHIGH VALLEY Phantoms	-	IOWA Wild	-
95 - 2020-04-18	943	IOWA Wild	-	BELLEVILLE Senators	-
96 - 2020-04-19	951	BELLEVILLE Senators	-	IOWA Wild	-
97 - 2020-04-20	964	IOWA Wild	-	Syracruse Crunch	-
98 - 2020-04-21	976	VICTORIAVILLE Tigres	-	IOWA Wild	-
99 - 2020-04-22	986	IOWA Wild	-	STOCKTON Flames	-
101 - 2020-04-24	1002	MONT-LAURIER Sommet	-	IOWA Wild	-
104 - 2020-04-27	1022	ROCKFORD IceHogs	-	IOWA Wild	-
105 - 2020-04-28	1030	IOWA Wild	-	UTICA Comets	-
108 - 2020-05-01	1050	BRIDGEPORT Sound Tigers	-	IOWA Wild	-
109 - 2020-05-02	1053	IOWA Wild	-	Binghampton Devils	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
38	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
174,278$	1,787,500$	1,787,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	167,520$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	101	16,779$	1,694,679$

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
33	7	6	0	0	0	0	0	1	50	10	40	3	3	0	0	0	0	0	0	22	4	18	4	3	0	0	0	0	0	1	28	6	22	13	50	92	142	0	0	26	14	10	0	510	148	173	189	3	116	30	44	139	13	3	23.08%	21	2	90.48%	0	227	329	69.00%	74	148	50.00%	73	109	66.97%	268	222	88	29	68	42
Total Saison Régulière	7	6	0	0	0	0	0	1	50	10	40	3	3	0	0	0	0	0	0	22	4	18	4	3	0	0	0	0	0	1	28	6	22	13	50	92	142	0	0	26	14	10	0	510	148	173	189	3	116	30	44	139	13	3	23.08%	21	2	90.48%	0	227	329	69.00%	74	148	50.00%	73	109	66.97%	268	222	88	29	68	42